ols_plot_resid_stud_fit: Deleted studentized residual vs fitted values plot
Description
Plot for detecting violation of assumptions about residuals such as
non-linearity, constant variances and outliers. It can also be used to
examine model fit.
Usage
ols_plot_resid_stud_fit(model, print_plot = TRUE)
Value
ols_plot_resid_stud_fit returns a list containing the
following components:
outliers
a data.frame with observation number, fitted values and deleted studentized
residuals that exceed the threshold for classifying observations as
outliers/influential observations
threshold
threshold for classifying an observation as an outlier/influential observation
Arguments
model
An object of class lm.
print_plot
logical; if TRUE, prints the plot else returns a plot object.
Deprecated Function
ols_dsrvsp_plot() has been deprecated. Instead use ols_plot_resid_stud_fit().
Details
Studentized deleted residuals (or externally studentized residuals) is the
deleted residual divided by its estimated standard deviation. Studentized
residuals are going to be more effective for detecting outlying Y
observations than standardized residuals. If an observation has an externally
studentized residual that is larger than 2 (in absolute value) we can call
it an outlier.